PPE.

1 👥 Cohort Description

Age and Sex Distribution

Cohort Overview

Table 1a. Cohort Description: Overall
Characteristic N = 1471
Age
    Median (Q1, Q3) 37 (34, 44)
    Unknown 13
Age group
    age ≥15-<25 1/134 (0.7%)
    age ≥25-<35 45/134 (34%)
    age ≥35-<45 62/134 (46%)
    age ≥45-<55 19/134 (14%)
    age ≥55 7/134 (5.2%)
    Unknown 13
Sex
    Female 38/134 (28%)
    Male 96/134 (72%)
    Unknown 13
Period
    First Three Days 74/147 (50%)
    Last Two Days 73/147 (50%)
Years of Professional Experience
    Median (Q1, Q3) 11 (8, 17)
    Unknown 13
Experience in VHF Response 101/134 (75%)
    Unknown 13
The IDTM is an Advantage to the Systems Used in the Past 117/121 (97%)
    Unknown 26
Envisioning Usage of IDMT in the Future
    Yes 121/121 (100%)
    Unknown 26
1 n/N (%)

Cohort by Period

Table 1b. Cohort Description by Period
Characteristic Overall
N = 147
1
First Three Days
N = 74
1
Last Two Days
N = 73
1
p-value2
Age 0.67
    Median (Q1, Q3) 37 (34, 44) 37 (34, 43) 37 (34, 44)
    Unknown 13 8 5
Age group 0.89
    age ≥15-<25 1/134 (0.7%) 1/66 (1.5%) 0/68 (0%)
    age ≥25-<35 45/134 (34%) 22/66 (33%) 23/68 (34%)
    age ≥35-<45 62/134 (46%) 32/66 (48%) 30/68 (44%)
    age ≥45-<55 19/134 (14%) 8/66 (12%) 11/68 (16%)
    age ≥55 7/134 (5.2%) 3/66 (4.5%) 4/68 (5.9%)
    Unknown 13 8 5
Sex 0.78
    Female 38/134 (28%) 18/66 (27%) 20/68 (29%)
    Male 96/134 (72%) 48/66 (73%) 48/68 (71%)
    Unknown 13 8 5
Years of Professional Experience 0.66
    Median (Q1, Q3) 11 (8, 17) 11 (8, 17) 12 (8, 18)
    Unknown 13 8 5
Experience in VHF Response 101/134 (75%) 50/66 (76%) 51/68 (75%) 0.92
    Unknown 13 8 5
The IDTM is an Advantage to the Systems Used in the Past 117/121 (97%) 58/61 (95%) 59/60 (98%) 0.62
    Unknown 26 13 13
Envisioning Usage of IDMT in the Future
    Yes 121/121 (100%) 61/61 (100%) 60/60 (100%)
    Unknown 26 13 13
1 n/N (%)
2 Wilcoxon rank sum test; Fisher’s exact test; Pearson’s Chi-squared test

2 📊 Survey

Overall

First Three Days

Last Two Days

3 🧰 Statistical Evaluation

We used an ordinal logistic regression model to account for the ordered nature of the response scale. This allowed us to estimate the likelihood of each response level across time periods or experience in VHF response and visualize these shifts using the predicted probability plot.

3.1 ⏰ By Period

3.1.1 Overall

Observed Response

Overall, people were slightly more likely to give higher ratings in the Last Two Days (p-value = 0.14).

Predicted Probabilities

The predicted probability plot shows the estimated likelihood of each response level across time periods, as modeled by ordinal logistic regression. It visually illustrates how respondents’ preferences shifted between periods, accounting for the ordered nature of the response scale.

3.1.2 By Variables

Significance of Period Effect by Question

Observed Response by Variable

Annoying – Enjoyable

Not understandable – Understandable

Creative – Dull

Easy to learn – Difficult to learn

Valuable – Inferior

Boring – Exciting

Not interesting – Interesting

Unpredictable – Predictable

Fast - Slow

Inventive – Conventional

Obstructive – Supportive

Good – Bad

Complicated – Easy

Unlikable – Pleasing

Usual – Leading edge

Unpleasant – Pleasant

Secure – Not secure

Motivating – Demotivating

Meets expectations – Does not meet expectations

Inefficiant – Efficient

Clear – Confusing

Impractical – Practical

Organized – Cluttered

Attractive – Unattractive

Friendly – Unfriendly

Conservative – Innovative

Predited Probabilities by Variable

Annoying – Enjoyable

Not understandable – Understandable

Creative – Dull

Easy to learn – Difficult to learn

Valuable – Inferior

Boring – Exciting

Not interesting – Interesting

Unpredictable – Predictable

Fast - Slow

Inventive – Conventional

Obstructive – Supportive

Good – Bad

Complicated – Easy

Unlikable – Pleasing

Usual – Leading edge

Unpleasant – Pleasant

Secure – Not secure

Motivating – Demotivating

Meets expectations – Does not meet expectations

Inefficiant – Efficient

Clear – Confusing

Impractical – Practical

Organized – Cluttered

Attractive – Unattractive

Friendly – Unfriendly

Conservative – Innovative

3.2 👨🏽‍⚕️Experience in VHF Response

3.2.1 Overall

Observed Response

Overall, there was no difference in rating between participants with and without previous experience in VHF response (p-value = 0.33).

Predicted Probabilities

The predicted probability plot shows the estimated likelihood of each response level by experience in VHF Response, as modeled by ordinal logistic regression. It visually illustrates how respondents’ preferences differed between participants with and without experience in VHF response, accounting for the ordered nature of the response scale.

3.2.2 By Variables

Significance of experience Effect by Question

Observed Response by Variable

Annoying – Enjoyable

Not understandable – Understandable

Creative – Dull

Easy to learn – Difficult to learn

Valuable – Inferior

Boring – Exciting

Not interesting – Interesting

Unpredictable – Predictable

Fast - Slow

Inventive – Conventional

Obstructive – Supportive

Good – Bad

Complicated – Easy

Unlikable – Pleasing

Usual – Leading edge

Unpleasant – Pleasant

Secure – Not secure

Motivating – Demotivating

Meets expectations – Does not meet expectations

Inefficiant – Efficient

Clear – Confusing

Impractical – Practical

Organized – Cluttered

Attractive – Unattractive

Friendly – Unfriendly

Conservative – Innovative

Predited Probabilities by Variable

Annoying – Enjoyable

Not understandable – Understandable

Creative – Dull

Easy to learn – Difficult to learn

Valuable – Inferior

Boring – Exciting

Not interesting – Interesting

Unpredictable – Predictable

Fast - Slow

Inventive – Conventional

Obstructive – Supportive

Good – Bad

Complicated – Easy

Unlikable – Pleasing

Usual – Leading edge

Unpleasant – Pleasant

Secure – Not secure

Motivating – Demotivating

Meets expectations – Does not meet expectations

Inefficiant – Efficient

Clear – Confusing

Impractical – Practical

Organized – Cluttered

Attractive – Unattractive

Friendly – Unfriendly

Conservative – Innovative